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Home / v1.3.0
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README.md 2022-11-09 561 Bytes
Release v1.3.0 source code.tar.gz 2022-11-09 1.4 MB
Release v1.3.0 source code.zip 2022-11-09 1.8 MB
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  • Feat:
    • Operators:
      • Vertical:linear_regression, sampler;
      • Horizontal: bert, densenet, vgg, woe_iv;
      • Local: data_split, data_statistic, feature_preprocess;
    • New horizontal templates for TensorFlow, PaddlePaddle;
    • Vertical XGBoost supports category features and offline inference, the output model file changes to json format;
    • Vertical K-Means supports new initial method kmeans++;
  • Improvement:
    • The vertical operator parameters are simplified, and the assist_trainer parameter does not need to be configured before training;
Source: README.md, updated 2022-11-09